Mus musculus
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA102807 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:A transcriptome study in mouse hematopoietic stem cells was performed using a sensitive SAGE method, in an attempt to detect medium and low abundant transcripts expressed in these cells. Among a total of 31,380 unique transcript, 17,326 (55%) known genes were detected, 14,054 (45%) low-copy transcripts that have no matches to currently known genes. 3,899 (23%) were alternatively spliced transcripts of the known genes and 3,754 (22%) represent anti-sense transcripts from known genes. Mouse hematopoietic stem cells were purified from bone marrow cells using negative and positive selection with a Magnetic-Activated Cell Sorter (MACS). total RNA and mRNA were purified from the purified cells using Trizol reagent and magnetic oligo dT beads. Double strand cDNAs were synthesized using a cDNA synthesis kit and anchored oligo dT primers. After NlaIII digestion, 3’ cDNAs were isolated and amplified through 16-cycle PCR. SAGE tags were released from the 3’ cDNA after linker ligation. Ditags were formed, concatemerized and cloned into a pZERO vector. Sequencing reactions were performed with the ET sequencing terminator kit. Sequences were collected using a Megabase 1000 sequencer. SAGE tag sequences were extracted using SAGE 2000 software.
2009-05-20 | E-GEOD-16139 | biostudies-arrayexpress
Project description:PURPOSE: To provide a detailed gene expression profile of the normal postnatal mouse cornea. METHODS: Serial analysis of gene expression (SAGE) was performed on postnatal day (PN)9 and adult mouse (6 week) total corneas. The expression of selected genes was analyzed by in situ hybridization. RESULTS: A total of 64,272 PN9 and 62,206 adult tags were sequenced. Mouse corneal transcriptomes are composed of at least 19,544 and 18,509 unique mRNAs, respectively. One third of the unique tags were expressed at both stages, whereas a third was identified exclusively in PN9 or adult corneas. Three hundred thirty-four PN9 and 339 adult tags were enriched more than fivefold over other published nonocular libraries. Abundant transcripts were associated with metabolic functions, redox activities, and barrier integrity. Three members of the Ly-6/uPAR family whose functions are unknown in the cornea constitute more than 1% of the total mRNA. Aquaporin 5, epithelial membrane protein and glutathione-S-transferase (GST) omega-1, and GST alpha-4 mRNAs were preferentially expressed in distinct corneal epithelial layers, providing new markers for stratification. More than 200 tags were differentially expressed, of which 25 mediate transcription. CONCLUSIONS: In addition to providing a detailed profile of expressed genes in the PN9 and mature mouse cornea, the present SAGE data demonstrate dynamic changes in gene expression after eye opening and provide new probes for exploring corneal epithelial cell stratification, development, and function and for exploring the intricate relationship between programmed and environmentally induced gene expression in the cornea. Keywords: other
2004-01-02 | GSE887 | GEO
Project description: Not available
| S-EPMC8784167 | biostudies-literature
Project description:Selvarasu2009 - Genome-scale metabolic
network of Mus Musculus (iSS724)
This model is described in the article:
Genome-scale modeling and in
silico analysis of mouse cell metabolic network.
Selvarasu S, Karimi IA, Ghim GH, Lee
DY.
Mol Biosyst 2010 Jan; 6(1):
152-161
Abstract:
Genome-scale metabolic modeling has been successfully
applied to a multitude of microbial systems, thus improving our
understanding of their cellular metabolisms. Nevertheless, only
a handful of works have been done for describing mammalian
cells, particularly mouse, which is one of the important model
organisms, providing various opportunities for both biomedical
research and biotechnological applications. Presented herein is
a genome-scale mouse metabolic model that was systematically
reconstructed by improving and expanding the previous generic
model based on integrated biochemical and genomic data of Mus
musculus. The key features of the updated model include
additional information on gene-protein-reaction association,
and improved network connectivity through lipid, amino acid,
carbohydrate and nucleotide biosynthetic pathways. After
examining the model predictability both quantitatively and
qualitatively using constraints-based flux analysis, the
structural and functional characteristics of the mouse
metabolism were investigated by evaluating network
statistics/centrality, gene/metabolite essentiality and their
correlation. The results revealed that overall mouse metabolic
network is topologically dominated by highly connected and
bridging metabolites, and functionally by lipid metabolism that
most of essential genes and metabolites are from. The current
in silico mouse model can be exploited for understanding and
characterizing the cellular physiology, identifying potential
cell engineering targets for the enhanced production of
recombinant proteins and developing diseased state models for
drug targeting.
This model is hosted on
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and identified by:
MODEL1507180042.
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To the extent possible under law, all copyright and related or
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2015-07-30 | MODEL1507180042 | BioModels
Project description:A transcriptome study in mouse hematopoietic stem cells was performed using a sensitive SAGE method, in an attempt to detect medium and low abundant transcripts expressed in these cells. Among a total of 31,380 unique transcript, 17,326 (55%) known genes were detected, 14,054 (45%) low-copy transcripts that have no matches to currently known genes. 3,899 (23%) were alternatively spliced transcripts of the known genes and 3,754 (22%) represent anti-sense transcripts from known genes.
2009-05-20 | GSE16139 | GEO
Project description:Identification of the mouse embryonic germ cell transcriptome
2015-08-13 | GSE70360 | GEO
Project description:To characterize the genetic basis of hybrid male sterility in detail, we used a systems genetics approach, integrating mapping of gene expression traits with sterility phenotypes and QTL. We measured genome-wide testis expression in 305 male F2s from a cross between wild-derived inbred strains of M. musculus musculus and M. m. domesticus. We identified several thousand cis- and trans-acting QTL contributing to expression variation (eQTL). Many trans eQTL cluster into eleven ‘hotspots,’ seven of which co-localize with QTL for sterility phenotypes identified in the cross. The number and clustering of trans eQTL - but not cis eQTL - were substantially lower when mapping was restricted to a ‘fertile’ subset of mice, providing evidence that trans eQTL hotspots are related to sterility. Functional annotation of transcripts with eQTL provides insights into the biological processes disrupted by sterility loci and guides prioritization of candidate genes. Using a conditional mapping approach, we identified eQTL dependent on interactions between loci, revealing a complex system of epistasis. Our results illuminate established patterns, including the role of the X chromosome in hybrid sterility.
2014-05-01 | GSE54089 | GEO
Project description:Identification of the mouse embryonic germ cell Stra8-/- transcriptome
2015-08-13 | GSE70359 | GEO
Project description:Identification of the mouse embryonic germ cell Dazl-/- transcriptome
2015-08-13 | GSE70358 | GEO